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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning Engineer - **Company:** GRAY, INC - **Location:** United States - **Salary:** $160,000.0 - $257,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Artificial Neural Networks, Microsoft Azure, C++ (Programming Language), Cloud Computing, Computer Programming, Data Cleansing, Distributed Systems, Python (Programming Language), Machine Learning, Software Safety, Systems Integration, Google Cloud, Pytorch, Large Language Models, Deep Learning, Model Validation, Parallel Computation, Information Technology, Optimization Algorithms, Machine Learning Operations, Data Generation - **Published:** August 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a46408654a3fa6e2 ## About the Role * Bachelor's degree in Computer Science, Machine Learning, Engineering, or a related technical field is required., * Experience in building and deploying machine learning models and systems. * Demonstrated expertise in designing, training, and deploying deep learning models with frameworks like PyTorch. * Strong programming experience in Python and C++ (preferred) * Practical experience developing scalable machine learning pipelines and integrating them with cloud infrastructure (e.g., AWS, GCP, Azure). * Experience conducting ML research, including building research prototype systems, experiment design, empirical analysis of results, and communicating results via publications. * Good to have: experience with modern ML methods such as LLMs (training, finetuning, and/or analyzing), synthetic data generation pipelines, and AI safety or security work., * In-depth knowledge of neural network architectures, including sequence models, transformers, and other state-of-the-art approaches. * Strong algorithmic problem-solving skills and comprehensive knowledge of ML theory and optimization techniques. * Proficiency in data preprocessing, transformation, and handling large-scale, multi-modal datasets. Bonus Points If You Have * Experience with AI safety practices such as model validation, robustness testing, and continuous monitoring for safety and security incidents throughout deployment. * Experience with AI safety and security assessments and adversarial testing. You'll Thrive Here If * You are genuinely excited by the intersection of research and engineering, and want to both develop new AI safety ideas and see them running in real systems. * You are motivated by real-world impact and want your work to directly influence how major AI companies deploy models right now (we work with many of the leading AI labs). * You are eager to deepen your AI safety expertise by working alongside a team that includes some of the most respected and influential thinkers in the field. * You thrive in a fast-paced, dynamic startup environment where ambiguity is expected. * You bring strong collaboration and problem-solving skills, with a focus on driving meaningful, lasting impact. ## Description As a Machine Learning Engineer at Gray Swan AI, you will play a pivotal role in shaping the future of AI safety solutions., * Lead the design, development, and deployment of advanced machine learning models to enhance system performance and scalability. * Tackle complex challenges associated with resource-intensive models using distributed systems and parallel computing. * Advance methodologies for controlling, monitoring, and analyzing machine learning models in production environments. * Develop new approaches to adversarial testing, model evaluation, and robust inference. * Translate research ideas into scalable AI systems deployed in real-world, adversarial settings. * Work closely with cross-functional teams to ensure research outcomes inform production systems. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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